A systematic review of full economic evaluations of robotic-assisted surgery in thoracic and abdominopelvic procedures.
Hamid SadriMichael Fung-Kee-FungBobby ShayeganPierre Y GarneauPadina PezeshkiPublished in: Journal of robotic surgery (2023)
This study aims to conduct a systematic review of full economic analyses of robotic-assisted surgery (RAS) in adults' thoracic and abdominopelvic indications. Authors used Medline, EMBASE, and PubMed to conduct a systematic review following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) 2020 guidelines. Fully published economic articles in English were included. Methodology and reporting quality were assessed using standardized tools. Majority of studies (28/33) were on oncology procedures. Radical prostatectomy was the most reported procedure (16/33). Twenty-eight studies used quality-adjusted life years, and five used complication rates as outcomes. Nine used primary and 24 studies used secondary data. All studies used modeling. In 81% of studies (27/33), RAS was cost-effective or potentially cost-effective compared to comparator procedures, including radical prostatectomy, nephrectomy, and cystectomy. Societal perspective, longer-term time-horizon, and larger volumes favored RAS. Cost-drivers were length of stay and equipment cost. From societal and payer perspectives, robotic-assisted surgery is a cost-effective strategy for thoracic and abdominopelvic procedures.Clinical trial registration This study is a systematic review with no intervention, not a clinical trial.
Keyphrases
- radical prostatectomy
- prostate cancer
- minimally invasive
- clinical trial
- meta analyses
- case control
- coronary artery bypass
- systematic review
- spinal cord
- randomized controlled trial
- type diabetes
- surgical site infection
- open label
- squamous cell carcinoma
- emergency department
- palliative care
- electronic health record
- wild type
- radiation therapy
- coronary artery disease
- double blind
- acute coronary syndrome
- lymph node
- insulin resistance
- phase iii
- percutaneous coronary intervention
- weight loss
- deep learning
- editorial comment